An essential consideration in cyber-physical systems (CPS) is the ability to support secure
communication services, such as points of interest (POI) microservices. Existing approaches …

Mobile-edge computing (MEC) is a new computing paradigm that enables cloud computing
and information technology (IT) services to be delivered at the network's edge. By shifting …

Through the collaboration of cloud and edge, cloud-edge computing allows the edge that
approximates end-users undertakes those non-computationally intensive service processing …

The Internet of Things (IoT) will be ripe for the deployment of novel machine learning
algorithm for both network and application management. However, given the presence of …

Internet of things (IoT) devices are prone to attacks due to the limitation of their privacy and
security components. These attacks vary from exploiting backdoors to disrupting the …

Recently, edge computing has attracted significant interest due to its ability to extend cloud
computing utilities and services to the network edge with low response times and …

Abstract Machine learning (ML) and Deep learning (DL) models are popular in many areas,
from business, medicine, industries, healthcare, transportation, smart cities, and many more …

Federated Learning (FL) has been proposed as an appealing approach to handle data
privacy issue of mobile devices compared to conventional machine learning at the remote …

Wider coverage and a better solution to a latency reduction in 5G necessitate its
combination with multi-access edge computing technology. Decentralized deep learning …

Federated learning (FL) has emerged as a promising technique for preserving user privacy
and ensuring data security in distributed machine learning contexts, particularly in edge …